Area of research
Atomic and Molecular Physics, and Optics · Biophysics
Research interest
Research interests include Digital Holography and Microscopy, Image Processing Techniques and Applications, Cell Image Analysis Techniques, and Advanced Fluorescence Microscopy Techniques.
A multicenter investigation of 2,773 cases of bloodstream infections based on China antimicrobial surveillance network (CHINET)
Early detection and classification of live bacteria using time-lapse coherent imaging and deep learning
Deep Learning-Based Holographic Polarization Microscopy
Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning
PhaseStain: the digital staining of label-free quantitative phase microscopy images using deep learning
Label-Free Bioaerosol Sensing Using Mobile Microscopy and Deep Learning
Motility-based label-free detection of parasites in bodily fluids using holographic speckle analysis and deep learning
Phase recovery and holographic image reconstruction using deep learning in neural networks
Edge sparsity criterion for robust holographic autofocusing
Sparsity-based multi-height phase recovery in holographic microscopy
Rapid, portable and cost-effective yeast cell viability and concentration analysis using lensfree on-chip microscopy and machine learning
Propagation phasor approach for holographic image reconstruction
Wide-field imaging of birefringent synovial fluid crystals using lens-free polarized microscopy for gout diagnosis
Wide-field computational imaging of pathology slides using lens-free on-chip microscopy